Leveraging electronic health records for data-driven comorbidity phenotyping in heart failure: Identification of eight risk-stratified phenotypes in a Chinese population.
- DOI
- 10.1177/20552076261481018
- Published
- 2026 Jan-Dec
- Container
- Digital health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1177/20552076261481018,
title = {Leveraging electronic health records for data-driven comorbidity phenotyping in heart failure: Identification of eight risk-stratified phenotypes in a Chinese population.},
author = {Ma R and Wang Y and Feng L and Lu Z and Zhou M and Shao W and Kong Y and Shao R and Wang C},
year = {2026},
journal = {Digital health},
doi = {10.1177/20552076261481018},
url = {https://doi.org/10.1177/20552076261481018}
}RIS
TY - JOUR TI - Leveraging electronic health records for data-driven comorbidity phenotyping in heart failure: Identification of eight risk-stratified phenotypes in a Chinese population. AU - Ma R AU - Wang Y AU - Feng L AU - Lu Z AU - Zhou M AU - Shao W AU - Kong Y AU - Shao R AU - Wang C PY - 2026 JO - Digital health DO - 10.1177/20552076261481018 UR - https://doi.org/10.1177/20552076261481018 ER -
APA
R, M., Y, W., L, F., Z, L., M, Z., W, S., Y, K., R, S., & C, W. (2026). Leveraging electronic health records for data-driven comorbidity phenotyping in heart failure: Identification of eight risk-stratified phenotypes in a Chinese population.. Digital health. https://doi.org/10.1177/20552076261481018
Source records
- pubmed · retrieved 2026-09-26T06:27:24.016Z